Applied Industrial Technologies (AIT) Inventory (2010 - 2026)
Applied Industrial Technologies (AIT) reported Inventory of $508.98 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 0.7% from $505.34 million a year earlier but down 3.3% from the prior quarter.
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Analysis
Applied Industrial Technologies (AIT) Inventory (2010 - 2026) Analysis & Trends
Dating back to fiscal Q4 2010, Applied Industrial Technologies' Inventory record includes 65 quarters.
- Inventory has a five-year compound annual growth rate of 7.0% (FY2021 to FY2026).
- By fiscal year, Inventory came in at $505.34 million in FY2025 (+3.5%), $488.26 million in FY2024 (-2.6%), $501.18 million in FY2023 (+11.4%) and $449.82 million in FY2022 (+24.1%).
- Five-year quarterly Inventory spans a low of $377.98 million in fiscal Q1 2022 and a high of $529 million in fiscal Q2 2026.
- Year over year, Inventory has now increased in each of the last five quarters, with growth averaging 1.7% over the last eight quarters.
- The high point for year-over-year Inventory in five years was fiscal Q2 2023 (growth of 30.8%); the low point was fiscal Q3 2024 (a decline of 4.4%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $526.32 million (Q3 2026), $529 million (Q2 2026) and $521.68 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 2.37 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 1.74 Bn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 4.68 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 192.00 Mn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 2.33 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 4.42 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 508.98 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 1.89 Bn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 828.70 Mn |
| 10 | Core & Main | 7.82 Bn | 7.12 Bn | 573.00 Mn | 1.14 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 508.98 Mn |
| Mar 31, 2026 | 526.32 Mn |
| Dec 31, 2025 | 529.00 Mn |
| Sep 30, 2025 | 521.68 Mn |
| Jun 30, 2025 | 505.34 Mn |
| Mar 31, 2025 | 500.56 Mn |
| Dec 31, 2024 | 518.04 Mn |
| Sep 30, 2024 | 497.57 Mn |
| Jun 30, 2024 | 488.26 Mn |
| Mar 31, 2024 | 503.91 Mn |
| Dec 31, 2023 | 520.16 Mn |
| Sep 30, 2023 | 507.64 Mn |
| Jun 30, 2023 | 501.18 Mn |
| Mar 31, 2023 | 526.98 Mn |
| Dec 31, 2022 | 523.02 Mn |
| Sep 30, 2022 | 490.10 Mn |
| Jun 30, 2022 | 449.82 Mn |
| Mar 31, 2022 | 425.37 Mn |
| Dec 31, 2021 | 399.76 Mn |
| Sep 30, 2021 | 377.98 Mn |
API Access
Applied Industrial Technologies Inventory API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=inventory&ticker=AIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "AIT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();